Literature DB >> 17645618

Three-dimensional assessment of urinary stone on non-contrast helical computed tomography as the predictor of stonestreet formation after extracorporeal shock wave lithotripsy for stones smaller than 20 mm.

Soichiro Yoshida1, Tetsuo Hayashi, Makoto Morozumi, Hisato Osada, Norinari Honda, Takumi Yamada.   

Abstract

The incidence of stonestreet formation after extracorporeal shock wave lithotripsy (ESWL) rises with increasing stone burden. However, stonestreet after ESWL is often experienced even in stones smaller than 20 mm. To examine whether the non-contrast helical computed tomography (CT) data could predict stonestreet formation in these stones, 53 radiopaque stones of 5-20 mm treated with ESWL were evaluated. Maximal dimension was measured on plain radiograph. From an attenuation value histogram graphed from the CT data, total stone volume and mean attenuation value were calculated. Seven stonestreets longer than 25 mm developed. There was no significant difference in maximal dimension and total stone volume between stones that did and stones that did not develop stonestreet. Mean attenuation value was the sole significant predictive factor. Application of mean attenuation value with cut-off level of 650 HU would anticipate stonestreet formation with a sensitivity of 85.7% and a specificity of 71.7%. The estimated risk of stonestreet formation is high in the treatment of stones with higher mean attenuation value.

Mesh:

Year:  2007        PMID: 17645618     DOI: 10.1111/j.1442-2042.2007.01767.x

Source DB:  PubMed          Journal:  Int J Urol        ISSN: 0919-8172            Impact factor:   3.369


  6 in total

1.  Kidney stone volume estimation from computerized tomography images using a model based method of correcting for the point spread function.

Authors:  Xinhui Duan; Jia Wang; Mingliang Qu; Shuai Leng; Yu Liu; Amy Krambeck; Cynthia McCollough
Journal:  J Urol       Date:  2012-07-21       Impact factor: 7.450

2.  Kidney stones and imaging: what can your radiologist do for you?

Authors:  Raphaële Renard-Penna; Aurélie Martin; Pierre Conort; Pierre Mozer; Philippe Grenier
Journal:  World J Urol       Date:  2014-10-26       Impact factor: 4.226

Review 3.  Advances in CT imaging for urolithiasis.

Authors:  Yasir Andrabi; Manuel Patino; Chandan J Das; Brian Eisner; Dushyant V Sahani; Avinash Kambadakone
Journal:  Indian J Urol       Date:  2015 Jul-Sep

4.  Computed tomography window affects kidney stones measurements.

Authors:  Alexandre Danilovic; Bruno Aragão Rocha; Giovanni Scala Marchini; Olivier Traxer; Carlos Batagello; Fabio Carvalho Vicentini; Fábio César Miranda Torricelli; Miguel Srougi; William Carlos Nahas; Eduardo Mazzucchi
Journal:  Int Braz J Urol       Date:  2019 Sep-Oct       Impact factor: 3.050

5.  Computational Analysis of Influencing Factors and Multiple Scoring Systems of Stone Clearance Rate after Flexible Ureteroscopic Lithotripsy.

Authors:  Lei Xia; Hanqing Xuan; Yang Cao; Zhebin Du; Hai Zhong; Qi Chen
Journal:  Comput Intell Neurosci       Date:  2022-09-26

6.  The utility of automated volume analysis of renal stones before and after shockwave lithotripsy treatment.

Authors:  Helen Wei Cui; Tze Khiang Tan; Frederikke Eichner Christiansen; Palle Jörn Sloth Osther; Benjamin William Turney
Journal:  Urolithiasis       Date:  2020-09-14       Impact factor: 3.436

  6 in total

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